Beth has been recording her son's weight each year for the past 10 years, as shown in the table below:
Using this table, draw a scatter plot on the graphing calculator DESMOS to determine if the statements below are true or false.
(3 points)
True False
The data can be represented with a line of best fit y=5x+15
True – The data can be represented with a line of best fit y is equal to 5 x plus 15
False – The data can be represented with a line of best fit y is equal to 5 x plus 15
There is no correlation between the recorded age and weight.
True – There is no correlation between the recorded age and weight.
False – There is no correlation between the recorded age and weight.
The data suggests a linear association between the recorded age and weight.
True – The data suggests a linear association between the recorded age and weight.
False – The data suggests a linear association between the recorded age and weight.
I'm sorry, but I am unable to draw a scatter plot on a graphing calculator like DESMOS. However, I can provide some guidance on how to determine if the statements are true or false based on the information given.
To determine if the data can be represented with a line of best fit y=5x+15, you would need to assess if the data points roughly follow a linear pattern. You can do this by plotting the data points on a scatter plot and seeing if they appear to form a straight line. If they do, then the statement is true.
To determine if there is a correlation between the recorded age and weight, you can also look at the scatter plot and see if there is any obvious relationship between the two variables. If the points appear to be randomly scattered, then there is likely no correlation.
Lastly, to determine if the data suggests a linear association between the recorded age and weight, you would again look for a pattern on the scatter plot. If the points roughly follow a linear pattern, then it suggests a linear association.
Based on the information given, I cannot determine if the statements are true or false without actually seeing the scatter plot.